{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XXX(作业名称)\n",
    "\n",
    "---\n",
    "个人信息:  \n",
    "- 姓名: 王续龙\n",
    "- 年级: 202052320114\n",
    "- 专业: 智能科学与技术\n",
    "- 班级: 1班\n",
    "---\n",
    "\n",
    "- 诚信守则:  \n",
    "    - 我承诺该报告内容**为我个人书写非直接抄袭所得。**\n",
    "    - 我**可以解释答题思路并复现我的答案。**\n",
    "    - 如无法实现以上要求，**我愿意承担由此带来的后果。**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "x0  shape:  (2, 5)\n",
      "x0  content:\n",
      "[[0 0 0 0 0]\n",
      " [0 0 0 0 0]]\n",
      "\n",
      "x1  shape:  (5, 2)\n",
      "x1  content:\n",
      "[[1 1]\n",
      " [1 1]\n",
      " [1 1]\n",
      " [1 1]\n",
      " [1 1]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np    //引用numpy数组\n",
    "x0  =  np.zeros((2,5),dtype=np.int)\n",
    "x1  =  np.ones((5,2),dtype=np.int)\n",
    "\n",
    "info=f'''               \n",
    "x0  shape:  {\n",
    "x0.shape\n",
    "}\n",
    "x0  content:\n",
    "{\n",
    "x0\n",
    "}\n",
    "\n",
    "x1  shape:  {\n",
    "x1.shape\n",
    "}\n",
    "x1  content:\n",
    "{\n",
    "x1\n",
    "}\n",
    "'''\n",
    "\n",
    "print(\n",
    "info\n",
    "\n",
    ")           //显示列行数和数组\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
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 "nbformat": 4,
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